Resultados de búsqueda - Embedded computer systems

Robust Path Matching and Anomalous Route Detection Using PosteriorWeighted Graphs por Doocy, Lauren, Prager, Steven D., Kider, Joseph T., Wiegand, R. Paul

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Participatory simulations of competing aquacultural and agricultural land uses in Bac Lieu Province, Mekong Delta, Vietnam por Dung, L.C., Le Page, C., Hoanh, Chu Thai

“…To collectively discuss about these criteria and to build a common understanding of this complex agro-hydro system, we have been using roleplaying games (RPGs). …”
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Agricultural Investment Data Analysis (AIDA) por International Food Policy Research Institute

“…The Agricultural Investment Data Analysis (AIDA) tool is embedded in IFPRI’s Rural Investment and Analysis (RIAPA) modeling system. …”
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Design and Development of a Digital Platform for Soil Health Monitoring and Management por Patil, Mukund, Burry, Sukanya, Katakamsetti, Nagendra, Choudhari, Pushpajeet L., Perumal, Cuba, Gogumalla, Pranuthi, Rozario, Gilbert, Shaik, Jameeruddin, Rupavatharam, Srikanth

“…A digital soil mapping engine is embedded within the platform to generate district-level soil nutrient maps using available soil samples, subject to minimum data and spatial distribution requirements. …”
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Determinación de la madurez de mazorcas de Cacao, haciendo uso de redes neuronales convolucionales en un sistema embebido por Heredia Gómez, Juan F., Rueda Gómez, Juan P., Talero Sarmiento, Leonardo H., Ramírez Acuña, Juan S., Coronado Silva, Roberto Antonio

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Unlocking the Potential of AI in Agricultural Research: Insights from ICRISAT’s Sensitization Workshop and Survey Findings por Rupavatharam, Srikanth, Patil, Mukund, Gelaye, Kidia, Reddy, Nagarjuna, Mitnala, Sreevani, Dhungel, Rajeev, Ravula, Padmaja

“…With strategic investments and responsible practices, ICRISAT has the opportunity to lead globally in embedding AI into agricultural research-for-development, fostering innovation that benefits farmers, partners, and food systems worldwide.…”
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Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production por Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

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